The principles of open science are to make publicly funded scientific research transparent, available, and reproducible. Advances in technology, including collaborative tools and cloud computing, help enable open science, but technology alone is insufficient. Open science requires a shift to a more transparent and collaborative scientific process, which will increase the pace and quality of scientific progress.
https://science.nasa.gov/open-science/ (accessed 2025-03-19)
Credit: Julie Lowndes and Alison Horst
Openscapes Champions: Empowering researchers by building collaborative teams.
import earthaccess
import xarray as xr
earthaccess.login()
results = earthaccess.search_data(
short_name='ATL06', # ATLAS/ICESat-2 L3A Land Ice Height
bounding_box=(-10, 20, 10, 50), # Only include files in area of interest...
temporal=("1999-02", "2019-03"), # ...and time period of interest.
count=10)
files = earthaccess.download(results, "/tmp/my-download-folder")
# Or
files = earthaccess.open(results)
ds = xr.open_mfdataset(files)To take full advantage of the cloud we need cloud optimized data
Image Credit: https://guide.cloudnativegeo.org/
Humans analyze the data but machines have to read the data. And machines are dumb, so help them out.
The Openscapes Core Team, Lowndes & Robinson (2021). Openscapes Approach Guide (Version v0.0.1). https://openscapes.org/approach-guide.
Open Science: ASIWG, March 24 2025, Boulder, CO